Other available formats:
Looking for an examination copy?
If you are interested in the title for your course we can consider offering an examination copy. To register your interest please contact firstname.lastname@example.org providing details of the course you are teaching.
Scientific Python is a significant public domain alternative to expensive proprietary software packages. This book teaches from scratch everything the working scientist needs to know using copious, downloadable, useful and adaptable code snippets. Readers will discover how easy it is to implement and test non-trivial mathematical algorithms and will be guided through the many freely available add-on modules. A range of examples, relevant to many different fields, illustrate the language's capabilities. The author also shows how to use pre-existing legacy code (usually in Fortran77) within the Python environment, thus avoiding the need to master the original code. In this new edition, several chapters have been re-written to reflect the IPython notebook style. With an extended index, an entirely new chapter discussing SymPy and a substantial increase in the number of code snippets, researchers and research students will be able to quickly acquire all the skills needed for using Python effectively.Read more
- Assumes no previous knowledge of any programming language
- Contains copious snippets of tested code, all available online, which the reader is encouraged to try
- Draws examples from many different fields
- Teaches readers how to use pre-existing legacy code (usually in Fortran77) within the Python environment, thus avoiding the need to master the original code
Reviews & endorsements
Review of first edition: ‘… the practitioner who wants to learn Python will love it. This is the type of book I have been looking for to learn Python … concise, yet practical.' Adhemar Bultheel, European Mathematical Society (euro-math-soc.eu)See more reviews
'… I still think the conciseness of the book is a major asset. It provides just enough to get you started with the language if you are already familiar with some computer programming or with a system like Maple or Mathematica.' Adhemar Bultheel, European Mathematical Society (euro-math-soc.eu)
'I highly recommend this book as a practical guide to real-life scientific programming. The book is well written, interspersed with great humor, and is presented from the viewpoint of a researcher who wants others to avoid suffering the same pitfalls and mistakes that he experienced.' Andreas Rueger, The Leading Edge
'This book is a rich resource for scientists who are familiar with programming and want to go beyond classical commercial scientific programming packages such as Mathematica and Maple … if you want to expand your research toolbox and computational flexibility, this book is a fantastic find … I highly recommend this book as a practical guide to real-life scientific programming. The book is well written, interspersed with great humor, and is presented from the viewpoint of a researcher who wants others to avoid suffering the same pitfalls and mistakes that he experienced.' Andreas Rueger, The Leading Edge
12th Sep 2017 by User574444421545
Supersedes the excellent Python for Scientists, first edition, but the code snippets promised in the introduction and on page 5 have not yet been made available.
Review was not posted due to profanity×
- Edition: 2nd Edition
- Date Published: August 2017
- format: Paperback
- isbn: 9781316641231
- length: 270 pages
- dimensions: 245 x 174 x 14 mm
- weight: 0.55kg
- availability: In stock
Table of Contents
2. Getting started with IPython
3. A short Python tutorial
5. Two-dimensional graphics
6. Multi-dimensional graphics
7. SymPy, a computer algebra system
8. Ordinary differential equations
9. Partial differential equations - a pseudospectral approach
10. Case study - multigrid
Appendix A. Installing a Python environment
Appendix B. Fortran77 subroutines for pseudospectral methods
Hints for using the index
Find resources associated with this titleYour search for '' returned .
Type Name Unlocked * Format Size
This title is supported by one or more locked resources. Access to locked resources is granted exclusively by Cambridge University Press to instructors whose faculty status has been verified. To gain access to locked resources, instructors should sign in to or register for a Cambridge user account.
Please use locked resources responsibly and exercise your professional discretion when choosing how you share these materials with your students. Other instructors may wish to use locked resources for assessment purposes and their usefulness is undermined when the source files (for example, solution manuals or test banks) are shared online or via social networks.
Supplementary resources are subject to copyright. Instructors are permitted to view, print or download these resources for use in their teaching, but may not change them or use them for commercial gain.
If you are having problems accessing these resources please contact email@example.com.
Sorry, this resource is locked
Please register or sign in to request access. If you are having problems accessing these resources please email firstname.lastname@example.orgRegister Sign in
You are now leaving the Cambridge University Press website. Your eBook purchase and download will be completed by our partner www.ebooks.com. Please see the permission section of the www.ebooks.com catalogue page for details of the print & copy limits on our eBooks.Continue ×
Are you sure you want to delete your account?
This cannot be undone.
Thank you for your feedback which will help us improve our service.
If you requested a response, we will make sure to get back to you shortly.×